most citedChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Conditional Neural Optimal Transport for Predicting Cellular Phenotypes from Molecular Structure

Gauthier Avité, Maxime Sanchez-Renauld, Nicolas Bourriez +1

High-content microscopy enables systematic profiling of cellular responses to chemical perturbations, but the scale of the chemical space makes exhaustive phenotypic characterizati…

cs.CV2026

Spectral Collapse in Diffusion Inversion

Nicolas Bourriez, Alexandre Verine, Auguste Genovesio

Conditional diffusion inversion provides a powerful framework for unpaired image-to-image translation. However, we demonstrate through an extensive analysis that standard determini…

cs.LG2026

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision

Alexandre Myara, Nicolas Bourriez, Thomas Boyer +3

Disentangled representation learning aims to map independent factors of variation to independent representation components. On one hand, purely unsupervised approaches have proven…

cs.CV2023★ 1 cited

Weakly supervised cross-modal learning in high-content screening

Watkinson Gabriel, Cohen Ethan, Bourriez Nicolas +3

With the surge in available data from various modalities, there is a growing need to bridge the gap between different data types. In this work, we introduce a novel approach to lea…

cs.CV2023★ 3 cited

ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images

Nicolas Bourriez, Ihab Bendidi, Ethan Cohen +4

Unlike color photography images, which are consistently encoded into RGB channels, biological images encompass various modalities, where the type of microscopy and the meaning of e…